47374 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47374 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,991, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,012, 83.44%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,631, 9.07%, see rank | 8.96% | 9.59% |
| Public Transportation | 103, 0.57%, see rank | 1.06% | 5.06% |
| Walked | 553, 3.07%, see rank | 2.09% | 2.78% |
| Other Means | 301, 1.67%, see rank | 1.44% | 1.79% |
| Worked at Home | 391, 2.17%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47374 Zip Code | 16.8 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47374 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 18,493, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,060, 81.44%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,136, 11.55%, see rank | 9.26% | 10.03% |
| Public Transportation | 123, 0.67%, see rank | 1.06% | 4.98% |
| Walked | 491, 2.66%, see rank | 2.18% | 2.82% |
| Other Means | 286, 1.55%, see rank | 1.38% | 1.76% |
| Worked at Home | 397, 2.15%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47374 Zip Code | 17.1 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47374 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 22,634, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 18,315, 80.92%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,648, 11.70%, see rank | 11.03% | 12.19% |
| Public Transportation | 174, 0.77%, see rank | 1.02% | 4.73% |
| Walked | 710, 3.14%, see rank | 2.38% | 2.93% |
| Other Means | 296, 1.31%, see rank | 0.92% | 1.19% |
| Worked at Home | 491, 2.17%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47374 Zip Code | 15.3 minutes |
| Indiana | 22.0 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
